Vatinee Y Bunya1, Maureen G Maguire1, Esen K Akpek2, Mina Massaro-Giordano1, Sean Hennessy3, Frederick B Vivino4, John A Gonzales5, Alan N Baer6, Gui-Shuang Ying1. 1. Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 2. Ocular Surface Diseases and Dry Eye Clinic, Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD. 3. Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 4. Penn Sjögren's Syndrome Center, Department of Rheumatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 5. The Francis I. Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, CA; and. 6. Jerome L. Greene Sjogren's Syndrome Center, Division of Rheumatology, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Abstract
PURPOSE: To develop a screening questionnaire to identify patients with dry eye with a high likelihood of having underlying Sjögren syndrome (SS). METHODS: This was a cross-sectional study of participants with dry eye complaints who were self-referred or referred by an ophthalmologist to the Sjögren's International Collaborative Clinical Alliance study. Symptoms and ocular surface examination findings were candidate predictors. Univariable and multivariable logistic regression analyses were performed to estimate odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of a symptom and/or ocular sign with SS. Area under the receiver operating characteristic curve (AUC) was used to summarize the predictive ability of different regression models and the derived likelihood score. RESULTS: Four questions were statistically significant in the final multivariable model: 1) Is your mouth dry when eating a meal? [Yes = OR 1.63 (1.18-2.26)]; 2) Can you eat a cracker without drinking a fluid or liquid? [No = OR 1.46 (1.06-2.01)]; 3) How often do you have excessive tearing? [None of the time = OR 4.06 (1.81-9.10)]; and 4) Are you able to produce tears? [No = OR 2.24 (1.62-3.09)]. The SS likelihood score had an AUC of 0.70 (95% CI, 0.66-0.73), and when including tear break-up time and conjunctival staining, it yielded an AUC of 0.79 (95% CI, 0.77-0.82). CONCLUSIONS: This questionnaire can be used to identify patients with dry eye with a high likelihood of having SS. With future refinement and validation, this screening tool could be used alone or in combination with examination findings to identify patients with SS earlier, thereby facilitating better clinical outcomes.
PURPOSE: To develop a screening questionnaire to identify patients with dry eye with a high likelihood of having underlying Sjögren syndrome (SS). METHODS: This was a cross-sectional study of participants with dry eye complaints who were self-referred or referred by an ophthalmologist to the Sjögren's International Collaborative Clinical Alliance study. Symptoms and ocular surface examination findings were candidate predictors. Univariable and multivariable logistic regression analyses were performed to estimate odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of a symptom and/or ocular sign with SS. Area under the receiver operating characteristic curve (AUC) was used to summarize the predictive ability of different regression models and the derived likelihood score. RESULTS: Four questions were statistically significant in the final multivariable model: 1) Is your mouth dry when eating a meal? [Yes = OR 1.63 (1.18-2.26)]; 2) Can you eat a cracker without drinking a fluid or liquid? [No = OR 1.46 (1.06-2.01)]; 3) How often do you have excessive tearing? [None of the time = OR 4.06 (1.81-9.10)]; and 4) Are you able to produce tears? [No = OR 2.24 (1.62-3.09)]. The SS likelihood score had an AUC of 0.70 (95% CI, 0.66-0.73), and when including tear break-up time and conjunctival staining, it yielded an AUC of 0.79 (95% CI, 0.77-0.82). CONCLUSIONS: This questionnaire can be used to identify patients with dry eye with a high likelihood of having SS. With future refinement and validation, this screening tool could be used alone or in combination with examination findings to identify patients with SS earlier, thereby facilitating better clinical outcomes.
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